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Nestor Nicolas Campos Rojas
En este proyecto, vamos a crear un chatbot utilizando la herramienta Composer de Microsoft Azure, simplificando y agilizando el desarrollo de un asistente virtual, enfocándonos en lo importante. Además, veremos cómo conectarlo con Azure LUIS y QnA Maker para darle más inteligencia al bot, finalmente para publicarlo.
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Teaches how to build a chatbot using Microsoft Azure Composer, adding intelligence with Azure LUIS and QnA Maker
Appropriate for those wishing to develop a virtual assistant

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Creando un chatbot con Azure Bot Framework Composer with these activities:
Review Azure Fundamentals
Refreshing your knowledge of Azure Fundamentals will help you better understand the concepts covered in this course.
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  • Review the Azure documentation or take an online course on Azure Fundamentals.
  • Complete practice exercises or quizzes to test your understanding.
Organize Course Materials
Organizing course materials, such as slides, notes, and assignments, will help you stay organized and on top of your studies throughout the duration of the course.
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  • Gather all course materials in one folder on your computer or note-taking app.
  • Create a system for organizing files, such as subfolders or tags.
  • Review materials regularly to reinforce your understanding.
Hands-on Chatbot Development
Hands-on practice will help you develop the skills needed to create and deploy chatbots using Microsoft Azure.
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  • Follow along with the course materials to build a chatbot using Microsoft Azure Composer.
  • Experiment with different features and functionalities to customize your chatbot.
  • Troubleshoot any issues that arise during development.
Three other activities
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Explore Microsoft Azure Cognitive Services
Exploring Microsoft Azure Cognitive Services will give you a deeper understanding of the AI capabilities that can be integrated with chatbots.
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  • Follow tutorials on the Microsoft Azure website or YouTube channel.
  • Experiment with different Cognitive Services APIs in your chatbot project.
Build a Chatbot Project
Creating a chatbot project will allow you to apply the skills you've learned in the course and showcase your abilities.
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  • Define the purpose and target audience for your chatbot.
  • Design the chatbot's functionality and user interface.
  • Develop and test the chatbot using Microsoft Azure Composer.
  • Deploy your chatbot and monitor its performance.
Participate in a Chatbot Challenge
Participating in a chatbot challenge will push you to develop innovative solutions and showcase your skills.
Show steps
  • Find chatbot challenges or hackathons online or through industry organizations.
  • Form a team or work individually to develop a chatbot solution.
  • Submit your chatbot for evaluation and compete for prizes or recognition.

Career center

Learners who complete Creando un chatbot con Azure Bot Framework Composer will develop knowledge and skills that may be useful to these careers:
UX Designer
UX designers create user interfaces for websites and apps. They must have a deep understanding of how users interact with technology and be able to create interfaces that are both intuitive and visually appealing. This course could be helpful for UX designers who want to learn how to create chatbots that provide a seamless and engaging user experience.
Customer Success Manager
Customer success managers help customers achieve success with their products or services. They must have a deep understanding of the customer's business and be able to build strong relationships with them. This course may be useful for customer success managers who want to learn how to use chatbots to improve communication and support for their customers.
Sales Manager
Sales managers oversee sales teams and are responsible for achieving sales goals. They must have a deep understanding of sales principles and be able to motivate and lead their teams. This course may be useful for sales managers who want to learn how to use chatbots to automate sales tasks or collect data from customers.
Mobile App Developer
Mobile app developers create and maintain apps for smartphones and tablets. They must be proficient in a variety of programming languages and technologies. This course may be useful for mobile app developers who want to learn how to create chatbots that can be integrated into mobile apps.
Business Analyst
Business analysts help businesses understand and improve their processes. They must have a deep understanding of business principles and be able to analyze data to identify areas for improvement. This course may be useful for business analysts who want to learn how to create chatbots that can be used to automate business processes or collect data from customers.
Product Manager
Product managers plan and execute the development of new products or features. They must have a deep understanding of the customer's needs and be able to work with engineers and designers to create products that meet those needs. This course may be useful for product managers who want to learn how to use chatbots to collect feedback from customers or automate product testing.
Web Developer
Web developers create and maintain websites and web applications. They must be proficient in a variety of programming languages and technologies. This course may be useful for web developers who want to learn how to create chatbots that can be integrated into websites or web applications.
Marketing Manager
Marketing managers plan and execute marketing campaigns. They must have a deep understanding of marketing principles and be able to track and measure the results of their campaigns. This course may be useful for marketing managers who want to learn how to use chatbots to automate marketing tasks or collect data from customers.
Financial Manager
Financial managers oversee the financial activities of a business. They must have a deep understanding of accounting principles and be able to manage teams of people. This course may be useful for financial managers who want to learn how to use chatbots to automate tasks or improve communication within their teams.
Project Manager
Project managers plan and execute projects. They must have a strong understanding of project management principles and be able to manage teams of people. This course may be useful for project managers who want to learn how to use chatbots to improve communication and collaboration within their teams.
Data Scientist
Data scientists use data to solve business problems. They must be proficient in a variety of data analysis techniques and technologies. This course may be useful for data scientists who want to learn how to create chatbots that can be used to collect and analyze data.
Machine Learning Engineer
Machine learning engineers build and maintain machine learning models. They must be proficient in a variety of machine learning techniques and technologies. This course may be useful for machine learning engineers who want to learn how to create chatbots that can be used to make predictions or recommendations.
Operations Manager
Operations managers oversee the day-to-day operations of a business. They must have a deep understanding of business principles and be able to manage teams of people. This course may be useful for operations managers who want to learn how to use chatbots to automate tasks or improve communication within their teams.
Technical Writer
Technical writers create instruction manuals, journal articles, and other supporting documents that help users understand and use complex technologies. They must be able to distill complex information into clear and concise language. This course may be useful for technical writers who want to learn how to create chatbot-based user manuals or other forms of documentation.
Human Resources Manager
Human resources managers oversee the human resources department of a business. They must have a deep understanding of human resources principles and be able to manage teams of people. This course may be useful for human resources managers who want to learn how to use chatbots to automate tasks or improve communication within their teams.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Creando un chatbot con Azure Bot Framework Composer.
Provides a comprehensive introduction to natural language processing (NLP), the field of computer science that deals with the interaction between computers and human (natural) languages. The book covers a wide range of topics, including text classification, information extraction, machine translation, and dialogue systems.
Provides a comprehensive exploration of cognitive computing, including its history, applications, and challenges. Offers valuable insights into the development of intelligent chatbots.
Provides a practical introduction to machine learning. Covers topics such as model selection, feature engineering, and evaluation. Offers a solid foundation for understanding chatbot intelligence.
Provides a practical introduction to machine learning, using Python as the programming language. The book covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive introduction to deep learning, using Python as the programming language. The book covers a wide range of deep learning architectures, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Offers a gentle introduction to machine learning concepts. Provides a helpful overview of the principles that underpin chatbot intelligence.
Offers a broad overview of AI principles and applications. Provides a foundational understanding of the underlying concepts that enable chatbot functionality.
Provides practical advice on how to design and develop effective chatbots. The book covers topics such as bot personality, conversation flow, and user experience.
Provides a gentle introduction to machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning.

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